Plasma soluble CD36, carotid intima-media thickness and cognitive function in patients with type 2 diabetes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: Diabetes and atherosclerosis are both risk factors of cognitive deficits.Scavenger receptor CD36 is associated with increasing risk of diabetes and atherosclerosis, and may play a role in cognitive deficits.The aim of this study is to determine the correlations of plasma soluble CD36 concentrations with carotid intima-media thickness (IMT) and cognitive function in patients with type 2 diabetes.Material and methods: We determined the levels of soluble CD36 (sCD36), blood lipids, fasting blood glucose, glycosylated hemoglobin, carotid atherosclerosis as IMT, cognitive function by the Montreal Cognitive Assessment (MoCA) scoring system, and other clinical characteristics in 357 patients with type 2 diabetes.Results: Diabetic patients with the lowest quartile of IMT (Q1) had lower sCD36 concentrations (ANOVA, p trend < 0.05) and higher MoCA scores than upper ones (Q2-Q4) (p trend < 0.05), and those with the highest quartile of sCD36(Q4) had higher FBG, LDL-C and carotid IMT than lower ones (Q1-Q3) (p trend < 0.05 for all).Plasma log 10 (sCD36) was significantly correlated with carotid IMT (r = 0.202, p < 0.001) after adjustment for age, gender, and education level.Carotid IMT was significantly associated with MoCA scores (r = 0.284, p < 0.001) after adjustment for, age, gender, education level, duration of DM and hypertension.There were no correlations between sCD36 and MoCA scores (r = -0.038,p = 0.470).Conclusions: Our study shows that sCD36 is associated with carotid IMT, and carotid IMT is inversely correlated with cognitive function in type 2 diabetic patients.Nevertheless, no cross-sectional association between sCD36 and MoCA scores was detected in this study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it